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Bone disease imaging through the near-infrared-II window

Author

Listed:
  • Chao Mi

    (Southern University of Science and Technology
    University of Technology Sydney
    National Institute of Extremely-Weak Magnetic Field Infrastructure
    Shenzhen Light Life Technology Co., Ltd.)

  • Xun Zhang

    (Southern University of Science and Technology)

  • Chengyu Yang

    (Southern University of Science and Technology)

  • Jianqun Wu

    (Southern University of Science and Technology)

  • Xinxin Chen

    (Southern University of Science and Technology)

  • Chenguang Ma

    (Southern University of Science and Technology)

  • Sitong Wu

    (Southern University of Science and Technology
    University of Technology Sydney)

  • Zhichao Yang

    (Southern University of Science and Technology
    University of Technology Sydney)

  • Pengzhen Qiao

    (Southern University of Science and Technology)

  • Yang Liu

    (Southern University of Science and Technology)

  • Weijie Wu

    (Southern University of Science and Technology)

  • Zhiyong Guo

    (Southern University of Science and Technology
    National Institute of Extremely-Weak Magnetic Field Infrastructure
    Southern University of Science and Technology)

  • Jiayan Liao

    (University of Technology Sydney)

  • Jiajia Zhou

    (University of Technology Sydney)

  • Ming Guan

    (Southern University of Science and Technology
    Shenzhen Light Life Technology Co., Ltd.)

  • Chao Liang

    (Southern University of Science and Technology)

  • Chao Liu

    (Southern University of Science and Technology
    Southern University of Science and Technology)

  • Dayong Jin

    (Southern University of Science and Technology
    University of Technology Sydney)

Abstract

Skeletal disorders are commonly diagnosed by X-ray imaging, but the radiation limits its use. Optical imaging through the near-infrared-II window (NIR-II, 1000–1700 nm) can penetrate deep tissues without radiation risk, but the targeting of contrast agent is non-specific. Here, we report that lanthanide-doped nanocrystals can passively target the bone marrow, which can be effective for over two months. We therefore develop the high-resolution NIR-II imaging method for bone disease diagnosis, including the 3D bone imaging instrumentation to show the intravital bone morphology. We demonstrate the monitoring of 1 mm bone defects with spatial resolution comparable to the X-ray imaging result. Moreover, NIR-II imaging can reveal the early onset inflammation as the synovitis in the early stage of rheumatoid arthritis, comparable to micro computed tomography (μCT) in diagnosis of osteoarthritis, including the symptoms of osteophyte and hyperostosis in the knee joint.

Suggested Citation

  • Chao Mi & Xun Zhang & Chengyu Yang & Jianqun Wu & Xinxin Chen & Chenguang Ma & Sitong Wu & Zhichao Yang & Pengzhen Qiao & Yang Liu & Weijie Wu & Zhiyong Guo & Jiayan Liao & Jiajia Zhou & Ming Guan & C, 2023. "Bone disease imaging through the near-infrared-II window," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42001-2
    DOI: 10.1038/s41467-023-42001-2
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    References listed on IDEAS

    as
    1. Rui Tian & Xin Feng & Long Wei & Daoguo Dai & Ying Ma & Haifeng Pan & Shengxiang Ge & Lang Bai & Chaomin Ke & Yanlin Liu & Lixin Lang & Shoujun Zhu & Haitao Sun & Yanbao Yu & Xiaoyuan Chen, 2022. "A genetic engineering strategy for editing near-infrared-II fluorophores," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    2. Hao Wan & Jingying Yue & Shoujun Zhu & Takaaki Uno & Xiaodong Zhang & Qinglai Yang & Kuai Yu & Guosong Hong & Junying Wang & Lulin Li & Zhuoran Ma & Hongpeng Gao & Yeteng Zhong & Jessica Su & Alexande, 2018. "A bright organic NIR-II nanofluorophore for three-dimensional imaging into biological tissues," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
    3. Benhao Li & Mengyao Zhao & Lishuai Feng & Chaoran Dou & Suwan Ding & Gang Zhou & Lingfei Lu & Hongxin Zhang & Feiya Chen & Xiaomin Li & Guangfeng Li & Shichang Zhao & Chunyu Jiang & Yan Wang & Dongyua, 2020. "Organic NIR-II molecule with long blood half-life for in vivo dynamic vascular imaging," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
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